结肠试验:一种用于自动化结肠镜监测建议和2024年ACG/ASGE质量基准测试的生成性AI工具
Sushil Kumar Garg1, Brayden Mau2, Jeffery Hubers1
1Division of Gastroenterology and Hepatology, Mayo Clinic Health System, Eau Claire, WI.
The American journal of gastroenterology
|February 10, 2026
概括
一个新的AI工具Colon-Pilot准确地应用了结肠镜监测指南和质量基准,超过了人类内镜师. 这种系统通过提高效率和质量来增强结直肠癌的预防.
科学领域:
- 胃肠病学 胃肠病学
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
背景情况:
- 准确的结肠镜监测需要遵守指南 (2020 USMSTF) 和质量基准 (2024 ACG/ASGE),这在实践中具有挑战性.
- 使用GPT-4o的大型语言模型 (LLM) 驱动的临床决策支持系统 (CDSS) Colon-Pilot被开发用于自动化和标准化这些功能.
研究的目的:
- 开发和验证Colon-Pilot,用于自动化结肠镜监测建议和质量基准测试.
- 评估系统在应用USMSTF准则和满足ACG/ASGE质量指标方面的准确性.
主要方法:
- 人在循环验证:Colon-Pilot对596次结肠镜检查的监测建议与专家共识和2020年USMSTF指南进行了比较.
- 自动化行政审计:使用Colon-Pilot对42,632次结肠镜进行了计算,以计算2024个ACG/ASGE质量指标,自动生成的建议受制于手动审查的安全标准.
主要成果:
- 在自动化病例中,Colon-Pilot实现了97.5%的指导准确度,明显超过了最初的内镜建议 (69.7%).
- 该系统超出了2024年的质量目标,包括腺瘤检测率 (49.8%),形形损伤检测率 (17.7%),肠道准备充分性 (91.8%),管输液率 (97.4%).
- 结肠-飞行员推适当的监测间隔,高准确度,标记只有12.4%的病例进行手动审查.
结论:
- 结肠直肠试点在应用监测指南和结肠镜检查的自动化质量基准测试方面表现出高准确性.
- 该LLM驱动系统在遵守指南方面优于无助内镜师,为改善结直肠癌预防提供了可扩展的解决方案.
- 结合安全协议和自动报告,Colon-Pilot提高了临床实践的效率和质量.
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